Gilat Center

Gilat Center

• BEN GAL ALON

  Team:Dr Aviva Peeters (TerraVisionLab), Yafit Cohen (Agricultural Engineering, ARO Volcani)

  Decision-making tools for precision irrigation

  We have models for optimization of a|) predicting factors of interest as a function of their spatial variability, b) delineating management zones, and c) sensor/sample placement based on big data from years of field experiments in vineyards, orchards, and field crops. We now want to bring these to decision-makers as accessible applications for practical use. We need you to work with the models, code and program them into APPs. Interactions with international (EU, China, USA) funded projects and their researchers. Initial project will involve developing a web-based application based on an existing Python model.

  Education requirements

  Programming. Full Stack developer

  Scientific experience

  Programming a must. GIS advantage. Precision agriculture data processing advantage

  Skills

  • Python, HTML/JavaScript/CSS • Programming skills in a GIS environment, an advantage

• BEN-YOSEF MICHAEL

  Team:Dr. Yafit Cohen, Department of sensing, information and mechanization engineering, Institute of agricultural engineering

  The urban dimension in the spatial distribution of pest fruit flies in Israel

  The spatial distribution and population dynamics of pests often extend beyond agro-ecosystems into other habitats surrounding the agricultural area. Of these, the urban dimension, due to its extensive development and increasing integration with agricultural lands, has an increasing contribution to the preservation and dissemination of agricultural pests. In this study, we will characterize the effect of settlements on the spatio-temporal dynamics of fruit fly populations in surrounding fruit orchards, using geostatistics, eco-informatics and spatio-temporal analyses of a large monitoring database. Our ultimate aim is to set the grounds for a pest control interface that will be applied to settlements in order to reduce the presence of pest flies in fruit orchards.

  Education requirements

  Ph. D.

  Scientific experience

  eco-informatics, data science, spatial ecology

  Skills

  statistics, programming, managing big data